Название: Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications
Автор: Gebrail Bekdas, Sinan Melih Nigdeli
Издательство: Springer
Год: 2023
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 48.2 MB
From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book includes reviews and applications of hybrid metaheuristic algorithms and Machine Learning used in structural engineering. It contains 14 chapters including an overview and introduction. 14 of 13 chapters are presented in two parts, namely, Part I: Hybrid Metaheuristics and Part II: Machine Learning. In Part I, a review and seven structural engineering applications including reinforced concrete, truss structures, tuned mass damper, composite structures, and dam structures are given. In Part II, two reviews and four Machine Learning applications about structural engineering problems, reinforced concrete, and building information modeling are given.